Boosting Your Productivity with AI Deep Research
23mBeginner2026-02-02
Authors

Denys Linkov
Course details
What is this course about?
AI deep research tools are transforming how professionals gather, analyze, and synthesize information, yet most people still aren’t using them to their full potential. In this course, learn how to initiate and manage long‑running deep research tasks using both OpenAI and Gemini. Through guided demonstrations, discover complete end‑to‑end workflows—from scoping your research question to configuring tasks, monitoring progress, and evaluating AI‑generated citations for reliability. Explore real projects, including analyzing UI design trends, visualizing home price data, and breaking down complex technical topics to extract key insights. Along the way, learn how to convert research findings into practical outputs such as charts, structured summaries, and simple applications with vibe coding. By the end of this course, you'll have a repeatable research system you can adapt for any project, enabling you to work faster, smarter, and with greater confidence using AI‑powered tools.
Objectives
What will I be able to do by the end of this course?
Set up, launch, and manage long-running deep research tasks using OpenAI, Claude, and Gemini.
Assess AI-generated sources and validate their accuracy and credibility.
Translate complex research findings into visual reports, summaries, and interactive applications.
Apply a systematic approach to executing detailed, end-to-end research projects.
Transform exploratory research into actionable insights across professional contexts.
Audience
Who is this course for?
Analysts
Consultants
Product managers
Developers
Sales professionals
AI deep research tools are transforming how professionals gather, analyze, and synthesize information, yet most people still aren’t using them to their full potential. In this course, learn how to initiate and manage long‑running deep research tasks using both OpenAI and Gemini. Through guided demonstrations, discover complete end‑to‑end workflows—from scoping your research question to configuring tasks, monitoring progress, and evaluating AI‑generated citations for reliability. Explore real projects, including analyzing UI design trends, visualizing home price data, and breaking down complex technical topics to extract key insights. Along the way, learn how to convert research findings into practical outputs such as charts, structured summaries, and simple applications with vibe coding. By the end of this course, you'll have a repeatable research system you can adapt for any project, enabling you to work faster, smarter, and with greater confidence using AI‑powered tools.
Objectives
What will I be able to do by the end of this course?
Set up, launch, and manage long-running deep research tasks using OpenAI, Claude, and Gemini.
Assess AI-generated sources and validate their accuracy and credibility.
Translate complex research findings into visual reports, summaries, and interactive applications.
Apply a systematic approach to executing detailed, end-to-end research projects.
Transform exploratory research into actionable insights across professional contexts.
Audience
Who is this course for?
Analysts
Consultants
Product managers
Developers
Sales professionals
Concepts
Introduction
- Boost your productivity with deep research in a complex work
- Set up OpenAI, Claude, and Gemini for deep research
Applying Deep Research through Projects
- Project 1 - Analyze UI design trends
- Project 2 - Explore local home prices
- Project 3 - Break down how AI models work
- Vibe code an interactive app using deep research outputs
Conclusion
- Integrate deep research into your daily work
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